• Informatization Policy
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• v.29 no.4
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• pp.26-42
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• 2022

In order to evaluate the usefulness of metaverse learning from the learner's point of view, this study 1) evaluated whether the expectancy-value of the class was satisfied before and after the learner used the metaverse learning platform and 2) verified factors affecting metaverse learning satisfaction with regard to the self-efficacy and expectancy-value of learners. Expectancy-value was evaluated by the learning effect, communication, class involvement, and learning attitude, whereas self-efficacy was evaluated by preference for task difficulty, self-regulation efficacy, and self-confidence. As a result of a study targeting 70 college students who applied for a few courses using the metaverse platform at a university in the northeastern part of Seoul, learners were found to have high expectations and values for learning before using the metaverse platform, but both were not statistically satisfied after use. In addition, the higher the self-efficacy of the learner, the higher the satisfaction with the metaverse learning, and statistically significant results were found in the task-difficulty preference and self-regulatory efficacy among the sub-factors of self-efficacy. There is a negative causal relationship between expectancy-value factors and satisfaction with metaverse learning. This study implies that it is a learner-centered evaluation of metaverse learning, revealing the expectancy-value effect and factors influencing the satisfaction with metaverse learning.

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.969-975
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• 2011

The purpose of this study is to investigate the effects of learners' self-motivational attitudes, use of instructional function, and understanding of successful learning on achievement in college e-learning classes. The study analyzed 297 college students' questionnaire about their internet learning attitudes based on how they understand e-learning and use various internet functions for their learning achievement. After factor analyses, the results found that there were three major factors such as self-motivational attitude, use of instructional function, and understanding of successful learning out of 15 survey items. Multiple regression showed that the self-motivational factor affects the learning achievement with overall three factors analyses. This result indicates that college e-learning classes should focus on the analysis of learners' self-motivational issues in college e-learning classes. This study suggest that the relationship between learners' e-learning experience and learning achievement should be examined in the near future to show how it affects on learners e-learning class management and their achievement.

• Journal of The Korean Association of Information Education
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• v.17 no.3
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• pp.305-316
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• 2013

Despite the potential implications of Facebook use, there is a distinct lack of empirically derived theory for designing learning environment. This may be because Facebook is a social tool and there has been limited opportunity for exploratory research regarding Facebook based learning. Therefore, the purpose of this study is to investigate learning presence factors affecting learning outcomes in Facebook-based collaborative learning. Forty two college students participated in the Facebook-based collaborative learning activity, and the data from thirty nine were used for step-wise multiple regression analysis. In addition focus group interview was conducted to examine learning presence of Facebook-based collaborative learning. The results reported that cognitive presence predicted significantly learning outcomes, however, social and emotional presence did not predict learning outcomes. The implication of this study and future research were discussed in this research.

• The Journal of the Korea Contents Association
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• v.7 no.1
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• pp.161-168
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• 2007

In this study, we investigated the effectiveness of e-Learning, and attempted to identify factors affecting educational results. Based on survey data from 712 distance learning participants, we selected and verified factors affecting educational results through a correlation analysis and confidential test. Participants' scores were standardized and considered as a dependent variable representing educational effectiveness. Through several tests using the program AMOS, we suggest the most appropriate structural equation that can verify the causal relation of factors affecting the effectiveness of e-Learning. In result, the most important factor affecting score which is our measurement for educational effectiveness is job-possession. The fidelity has slightly direct influence to the score and the satisfaction has least indirect influence to the score.

• The Journal of Korean Association of Computer Education
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• v.22 no.2
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• pp.39-50
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• 2019

We designed and applied team project based learning for effective computer programming education and analyzed the effect on learning effect. Throughout simplified traditional theories and practices, teamed up with random lottery, divided role & responsibility, and conducted problem solving projects in a competitive way for a given task. When after completion of the course, we conducted questionnaires on learners in order to grasp the influence factors on the learning effect. As a result of the structural equation model analysis, it was shown that Team Project had a direct effect on the learning effect. The learning effect based on the relationships among the factors derived through exploratory factor analysis. Based on this analysis, we propose a more effective computer programming education way.

• The Journal of Korean Association of Computer Education
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• v.11 no.6
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• pp.65-76
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• 2008

Since Cyber Home Learning is an e-learning system promoted with policy goals of reducing private tutoring costs, solving gaps among regions, and improving scholastic attainments, preceding researches to verify its effects have been developed of evaluation standards focused on achievement of its policy goals rather than educational goals. The evaluation standards suggested in preceding researches have limitations in clearly reviewing Cyber Home Learning's effects by teaching-learning activities factors and Cyber Home Learning's improvement related to teaching-learning activities. Therefore, an evaluation model capable of analyzing effects of Cyber Home Learning from pedagogical aspect is required. The goal of this paper is to design pedagogical evaluation model according to teaching-learning activities factors and analyze effects of Cyber Home Learning. For the goal, researches from Korea and abroad related to Cyber Home Learning have been examined, pedagogical evaluation model was designed according to teaching-learning activities factors, and the model was then experimented through survey and in-depth interview on students who used Cyber Home Learning. It is expected that results of this paper can be used as a basic data to improve quality of Cyber Home Learning service for teaching-learning activities, and will contribute to establishment of more developmental Cyber Home Learning policy in the future.

• Korean Journal of Childcare and Education
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• v.12 no.2
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• pp.113-125
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• 2016

This study examined the effects of constructivist educational beliefs and self-regulated learning skills of children on teacher professional development. The study was conducted by sampling 273 teachers. Three kinds of variables, which included constructivist educational beliefs, self-regulated learning ability, and professional development level were measured and analyzed for this study. The results were as follows. First, early childhood teachers beliefs of constructivist education, self-regulated learning ability and professional development were found to be higher than average. Second, the professional development of early childhood teachers is shown to be correlated with constructivist educational beliefs and self-regulated learning ability. When constructivist educational beliefs and self-regulated learning ability scores increases, the professional development score is high. Third, metacognitive strategies, cognitive strategies and constructivist educational beliefs are factors that predict the professional development of early childhood teachers. According to results of this study, it suggests that constructivist educational beliefs and self-regulated learning ability are important factors to be addressed.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.34 no.3
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• pp.49-56
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• 2011

Estimating optimum hardware capacity of an e-learning system is very important process to grasp reasonable size of designing technique architecture and budget during step of ISP(information strategic planning) and development. It hugely influences cost and quality of the whole project. While investment on information system hardware has been continuously increased, there was no certified hardware capacity estimating method in e-learning system development. A guideline for hardware sizing of information systems was established by Telecommunication Technology Association in 2008. However, the guideline is not appropriate for estimating optimum hardware capacity of an e-learning system because it was designed to provide general standards for estimating hardware capacity of various types of projects. The purpose of this paper is to provide a methodology for estimating optimum hardware capacity in e-learning system development. To develop the methodology, this study, first of all, analyzes two e-learning development projects, in which the guideline was applied to estimate optimum hardware capacity. Then, this study finds out several key factors influencing on hardware capacity. Finally, this study suggests a methodology for estimating optimum hardware capacity of an e-learning system, in which weights for the factors are determined through AHP analysis.

• Journal of the Korean Society of Physical Medicine
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• v.18 no.2
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• pp.33-39
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• 2023

PURPOSE: This study examined the status of the efficient supply of assistive devices for students with disabilities. METHODS: A complete investigation was conducted on the request and supply of assistive devices for students with disabilities at the Korea National University of Welfare. The subjects were 112 students with disabilities who applied for assistive device rental. The status of the supply of assistive devices according to the type of disability was investigated. The overall satisfaction with learning support was measured. The questionnaire content was categorized into the following three factors to determine learning support satisfaction: support overall (role, staff, facilities) learning support (learning support, learning counseling, life consultation), assistive device supply (counseling, rental, uses, rental period, maintenance services). RESULTS: The most common type of students with disabilities was physical disabilities 62 (29.38%) and hearing impairments 62 (29.38%). Students with physical disabilities and brain lesions rented manual and electric wheelchairs the most. Learning support satisfaction was evaluated considering the factors support overall, learning and assistive device supply effects. satisfaction of learning support for students with disabilities 83.5 points. CONCLUSION: The satisfaction with assistive device supply appears to be relatively lower than support overall. Each university will gradually secure assistive devices that suit the characteristics of students with disabilities.

• Journal of Information Technology Applications and Management
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• v.15 no.2
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• pp.33-49
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• 2008

The purpose of this study is to find student factors associated with the students' evaluation of university teaching, and to provide a meaningful reference to policy-making of teaching evaluation. Based on the surveyed questionnaires from 232 students who participated in e-learning course. in combination with applying descriptive statistics, this study analyzes (1) the influences of students' pre-motivation level of student based-on ARCS theory on class satisfaction, (2) the influences of students' grade, attendance, and class involvement on class satisfaction, and (3) the influences of e-learning experience on students' pre-motivation level and class satisfaction. Result of this study shows that: (1) students' pre-motivation level including Attention(A), Relevance(R), Confidence(C), and Satisfaction(S) is positively correlated to students' evaluation for teaching, (2) students' grade, attendance. and class involvement are positively correlated to students' evaluation for teaching, and (3) students' e-learning experience is not related with students' pre-motivation level, whereas it is related with class satisfaction.